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Senior Photonic Engineer, Machine Learning

Google - Sunnyvale, CA, USA

Posted Jun 5, 2026

Benefits

Parental leave
18 weeks From the posting source
Non-birth-parent leave
18 weeks From the posting source
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
$159K-$231K From the posting source
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

74% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source
Seniority
Senior From the posting source

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Photonic Engineer, Machine Learning Sunnyvale, CA, USA As a Photonic Engineer for machine learning systems, you will be responsible for creating next generation optical interconnect technologies for Tensor Processing Unit (TPU) systems. You will work with both the optics team and machine learning team to lay out the optical technology roadmaps to scale future generation machine learning systems.Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Design low-cost and high-speed optical transceivers for data center applications. Develop optical systems and architectures to scale Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) superpods. Identify, research, and evaluate emerging photonic networking technologies. Explore optical technologies to disaggregate and improve the efficiencies of future computing systems. Minimum qualifications: PhD degree in Electrical Engineering, Computer Engineering, Physics, a related field,

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